most citedHybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

1 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2021★ 1 cited

Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

Xiongshi Deng, Min Li, Shaobo Deng +1

Microarray gene expression data are often accompanied by a large number of genes and a small number of samples. However, only a few of these genes are relevant to cancer, resulting…

cs.LG2021★ 1 cited

RFCBF: enhance the performance and stability of Fast Correlation-Based Filter

Xiongshi Deng, Min Li, Lei Wang +1

Feature selection is a preprocessing step which plays a crucial role in the domain of machine learning and data mining. Feature selection methods have been shown to be effctive in…